Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

24 / 1,024 papers shown

Title
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 121 368 0 26 Nov 2019
Improvement of Batch Normalization in Imbalanced Data Muneki Yasuda S. Ueno 18 1 0 25 Nov 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 119 1,254 0 20 Nov 2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression Zhaohui Zheng Ping Wang Wei Liu Jinze Li Rongguang Ye Dongwei Ren NoLa 152 3,767 0 19 Nov 2019
Jointly De-biasing Face Recognition and Demographic Attribute Estimation Sixue Gong Xiaoming Liu Anil K. Jain CML 129 27 0 19 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 193 1,225 0 21 Oct 2019
Self-supervised Label Augmentation via Input Transformations Hankook Lee Sung Ju Hwang Jinwoo Shin SSL 70 63 0 14 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data Utkarsh Ojha Krishna Kumar Singh Cho-Jui Hsieh Yong Jae Lee DRL 49 3 0 01 Oct 2019
Class-dependent Compression of Deep Neural Networks R. Entezari O. Saukh 91 7 0 23 Sep 2019
Better AI through Logical Scaffolding Nikos Arechiga Jonathan A. DeCastro Soonho Kong Karen Leung 48 1 0 12 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 152 471 0 31 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 143 1,617 0 18 Jun 2019
The Herbarium Challenge 2019 Dataset Kiat Chuan Tan Yulong Liu B. Ambrose Melissa C. Tulig Serge J. Belongie 48 56 0 12 Jun 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification Oisin Mac Aodha Elijah Cole Pietro Perona 126 168 0 12 Jun 2019
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification Xiangrui Li D. Zhu 34 0 0 10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 125 59 0 07 Jun 2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching Hao Wang Qilong Wang Fan Yang Jiexia Ye W. Zuo 97 62 0 02 Jun 2019
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 171 485 0 28 May 2019
Learning to Auto Weight: Entirely Data-driven and Highly Efficient Weighting Framework Zhenmao Li Yichao Wu Ken Chen Yudong Wu Shunfeng Zhou Jiaheng Liu Junjie Yan 76 5 0 27 May 2019
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training Yunru Liu Tingran Gao Haizhao Yang 52 12 0 23 May 2019
Synthetic Examples Improve Generalization for Rare Classes Sara Beery Yang Liu Dan Morris Jim Piavis Ashish Kapoor M. Meister Neel Joshi Pietro Perona 134 98 0 11 Apr 2019
Striking the Right Balance with Uncertainty Salman Khan Munawar Hayat Waqas Zamir Jianbing Shen Ling Shao 98 174 0 22 Jan 2019
Dynamic Curriculum Learning for Imbalanced Data Classification Yiru Wang Weihao Gan Jie Yang Wei Wu Junjie Yan 111 223 0 21 Jan 2019
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild Lianghua Huang Xin Zhao Kaiqi Huang 203 1,360 0 29 Oct 2018